Hyperspectral imaging combined with dual-channel deep learning feature fusion model for fast and non-destructive recognition of brew wheat varieties
Author:
Publisher
Elsevier BV
Subject
Food Science
Reference34 articles.
1. Rapid classification of wheat grain varieties using hyperspectral imaging and chemometrics;Bao;Appl. Sci.,2019
2. CNN based feature extraction and classification for sign language;Barbhuiya;Multimed. Tools Appl.,2020
3. Privacy‐preserving CNN feature extraction and retrieval over medical images;Cai;Int. J. Intell. Syst.,2022
4. Varietal classification of rice seeds using RGB and hyperspectral images;Fabiyi;IEEE Access,2020
5. Bloodstain identification based on visible/near-infrared hyperspectral imaging with convolutional neural network;He;IEEE Access,2022
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